846 Aws Sagemaker Jobs - Page 6

5+ years of exp as an AI/ML Engineer Amazon Sage Maker ,AWS Lambda, Amazon Kinesis Data Streams / Kinesis Data Analytics, Amazon DynamoDB, Amazon S3,API Gateway, python and relevant ML libraries

Project Role : LLM Model Developer Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts. Must have skills : Large Language Models Good to have skills : NA Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Senior GenAI Engineer, you will lead the design, development, and deployment of sophisticated AI solutions that leverage both traditional machine learning and cutting-edge generative AI techniques. You will apply your deep expertise in ML engineering, large language models (LLMs), retrieval-aug...

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Center of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immunoscience, CNS, CV-Met, and Rare Diseases. We s...

Experience - 5 - 10 yrs Locations - Bangalore, Chennai, Mumbai, Pune, Hyderabad Key Responsibilities Design, develop, and deploy machine learning models using AWS SageMaker for various business applications Implement end-to-end ML pipelines from data preprocessing to model serving and monitoring Build and maintain automated model training, validation, and deployment workflows Optimize model performance, scalability, and cost-effectiveness in production environments Create interactive ML applications and demos using Gradio for stakeholder demonstrations and user interfaces Develop robust Python applications for data processing, feature engineering, and model inference Build APIs and microserv...

Greetings from BMW Techworks India Role: MLOPS Engineer Location: Bangalore or Chennai Experience: 3 to 6 Years Note: We are looking for someone who can join with us within 15 Days What awaits you/ Job Profile: Design and Implementation: Develop and implement a robust MLOps framework and infrastructure to support the deployment and maintenance of machine learning models. Machine Learning Model Deployment: Oversee the deployment of machine learning models into production environments, ensuring they are scalable and reliable. Monitoring and Maintenance: Continuously monitor the performance of deployed models, making necessary adjustments to maintain optimal performance and stability. Automatio...

Eviden, part of the Atos Group, with an annual revenue of circa ?5 billion is a global leader in data-driven, trusted and sustainable digital transformation As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come, Senior Tech Lead AWS AI (Anthropic) Experience - Minimum 1215 years of total IT experience, with at least 57 years in AI/ML engineering and solutio...

AWS Data Architect- Senior Manager We are seeking a highly skilled and motivated Data Architect/Senior Manager with 14+ years of experience as a cloud data architect and who is familiar with modern data stack (AWS) to join our dynamic team. As a Data Architect/Senior Manager, you will be responsible for designing, building and operationalizing enterprise level data platforms or warehouses at scale Responsibilities Strong expertise in AWS tech stack- well versed with all AWS services, cloud concepts, data concepts, building architectural framework in AWS and design thinking Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data an...

Description Responsibilities Accountable for the end-to-end build and engineering of the production ML / AI application taking a prototype model from the data scientists and developing a production-ready application using appropriate tools and technologies to deploy using AWS cloud. Accountable for the successful development resilience and reliability of the analytical model scoring application pipelines. Follow the established patterns to make the ML / AI models ready for deploy to pre-prod and prod environments with MLOps engineers. Study and transform data science prototypes understanding the requirements and designing the application. Understand the container environments for where these...

Job Description We are seeking a highly skilled Generative AI Architect with hands-on experience in developing and deploying cutting-edge AI solutions using AWS, Amazon Bedrock, and agentic AI frameworks. The ideal candidate will have a strong background in machine learning and prompt engineering, with a passion for building intelligent, scalable, and secure GenAI applications. Key Responsibilities Design, develop, and deploy Generative AI models and pipelines for real-world use cases. Build and optimize solutions using AWS AI/ML services, including Amazon Bedrock as comprehensive native functionalities, SageMaker, and related cloud-native tools. Develop and orchestrate Agentic AI systems, i...

You have a passion for leveraging AI and machine learning to create transformative solutions. You are seeking a Lead Data Scientist role to drive innovation, scale critical data science products, and set new standards in AI excellence. As a thought leader in the team, you will play a pivotal role in mentoring peers, advancing AI capabilities, and delivering measurable business impact. **Key Responsibilities:** - **Machine Learning and AI Development** - Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks. - Perform model optimization for performance, scalability, and accuracy. - Implement advanced feature engineering techniques for both structur...

About the Role: We are seeking a highly skilled ML Pipeline Engineer to design, build, and optimize robust and scalable machine learning pipelines. Youll work at the intersection of data engineering, DevOps, and machine learning, enabling our data science teams to deploy models into production efficiently and reliably. Key Responsibilities: Pipeline Development & Deployment Design and implement end-to-end ML pipelines for training, validation, deployment, and monitoring. Automate data ingestion, preprocessing, feature engineering, model training, evaluation, and serving. Enable reproducible and modular workflows using tools like MLflow, Kubeflow, or TFX. Model Serving & Infrastructure Develo...

Position - AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps Job Summary We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI) systems. As an AI Architect, you will be responsible for defining application architectures for ML/GenAI solutions on cloud platforms & tools such as GCP, Vertex AI, IBM Watsonx, leading end-to-end design and implementation, and driving adoption of emerging technologies and frameworks across the organization. This is a hands-on technical leadership role that requires deep expertise in AI/ML fundamenta...

Position - Lead - Machine Learning Engineer - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About this Role: We are seeking a visionary Lead Machine Learning Engineer to architect, guide, and deliver enterprise-grade ML solutions that drive strategic business outcomes. You will lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle. As a Lead MLE, you will play a pivotal role in shaping our ML platform strategy, mentoring senior engineers, and driving adoption of best practices in MLOps, model governance, and responsible AI. Youll collaborate with stakeho...

We are looking for an Senior AI Engineer to be part of our Global Data Science and Innovation team. As part of a high-profile team, the position offers a unique opportunity to work first-hand on some of the most exciting, and challenging AI-led projects within the organization, and be part of a fast-paced, entrepreneurial environment. As a senior member of the team, you will be responsible for working with your leadership team to build a world-class portfolio of AI-led solutions within KANTAR leveraging the latest developments in AI/ML. You will be part of several initiatives to productionize multiple R&D PoCs and pilots that leverage a variety of AI/ML algorithms and technologies, particula...

Role: MLOps Engineer Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and autom...

Overall Exp: (6-9 Years) Work Location: Chennai Job requirements We are looking for someone to help us build AI/ML enabled features on AWS Cloud The candidate should have Atleast 5+ years experience buildingAI/ML based features including rule-based systems, ML models, data analysis, improving precision/recall of algorithms using Python Experience building, deploying and maintaining applications on AWS or other cloud platform, should have experience in Sage Maker and other cloud services like EC2 Be a self-starter, can operate with minimal supervision Good Communication Skills and willing to go above and beyond

About the Role: We are seeking an experienced Machine Learning Engineer Manager with 8-10 years of hands-on experience in machine learning, data science, and AI development, combined with proven leadership skills. You will lead a team of talented ML engineers and data scientists to design, build, and deploy scalable machine learning solutions that drive business impact. This role involves strategic planning, cross-functional collaboration, and mentoring team members to excel technically and professionally. Key Responsibilities: Design, develop, and deploy machine learning models and algorithms for various applications. Collaborate with data scientists, data engineers, and product teams to un...

We are looking for a Machine Learning Engineer with expertise in MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) to design, deploy, and maintain scalable AI/ML systems. You will work on automating ML workflows, optimizing model deployment, and managing large-scale AI applications, including LLMs (Large Language Models) , ensuring they run efficiently in production. Key Responsibilities: Design and implement end-to-end MLOps pipelines for training, validation, deployment, monitoring, and retraining of ML models. Optimize and fine-tune large language models (LLMs) for various applications, ensuring performance and efficiency. Develop CI/CD pipelines for ML mode...

Role Overview: As a GenAI Specialist at the company, your primary responsibility will be to leverage Large Language Models (LLMs) for driving projects and enhancing AI capabilities. This will involve designing, implementing, and monitoring GenAI projects using various LLMs, tools, and frameworks. Key Responsibilities: - Utilize Large Language Models like Azure Open AI Model, Gemini 1.5 Model, Claude Model, and Mistral Model to develop and optimize AI solutions. - Implement LLM APIs in project work for seamless integration and functionality. - Deploy tools such as Google Gemini, Azure Open AI, AWS Bedrock, AWS Sagemaker, AWS Titan, Azure AutoML / AzureML, and Google Bigquery to support AI dev...

As an Analytics & AI Specialist at the company, you will play a crucial role in delivering innovative solutions that drive business success by leveraging your expertise in General Analytics, Artificial Intelligence (AI), Generative AI (GenAI), forecasting techniques, and client management. **Key Responsibilities:** - Utilizing machine learning frameworks and libraries such as TensorFlow, scikit-learn, PyTorch, and Keras. - Applying Generative AI (GenAI) tools and technologies like GPT models, GANs, and transformer models. - Working with AI cloud platforms such as Google AI, AWS SageMaker, and Azure AI. - Demonstrating expertise in time series forecasting methods like ARIMA, Exponential Smoot...

Role Overview: We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Mandatory Skills: Strong proficiency in Python for ML. Good understanding of statistics, probability, and hypothesis testing. Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch). Hands-on with data wrangling, feature engineeri...

Role: MLOps Engineer Location: Bhubaneswar Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a m...

Role: MLOps Engineer Location: PAN India Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a mod...

About The Role About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Jo...

About The Role Job Title- GenAI Health AI Use Case Implementation H&PS S&C Global Network Management Level :Analyst / Consultant (Level 11/9) Location :Bangalore / Chennai Must Have Skills :Hands-on experience with AI/ML frameworks and tools such as TensorFlow, Prompt engineering, PyTorch, Scikit-learn, MLflow, Hugging Face, Azure ML, AWS SageMaker, AI/ML Model Development, GenAI Applications, GCP Vertex AI etc. Good-to-Have Skills: Familiarity with healthcare data standards (HL7, FHIR, ICD-10, SNOMED, CPT, etc.) and health frameworks Experience :Minimum 1-7 years of relevant experience in the health consulting domain Educational Qualification :B. Tech/B.E. (Tier 1 preferred) + MBA (Tier 1/2...